Triple

T3140210
Position Surface form Disambiguated ID Type / Status
Subject World Plenary Meeting E65627 entity
Predicate shortName P43 FINISHED
Object WPM
WPM is the abbreviation commonly used for the World Plenary Meeting, a global gathering focused on collective decision-making and discussion.
E332629 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: WPM | Statement: [World Plenary Meeting, shortName, WPM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WPM
Context triple: [World Plenary Meeting, shortName, WPM]
  • A. WCP
    WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • B. Morse
    Morse is the middle name of Mary Baker Eddy, the founder of Christian Science.
  • C. Pitman shorthand
    Pitman shorthand is a phonetic writing system developed in the 19th century by Isaac Pitman to enable rapid transcription of spoken English using simplified strokes and symbols.
  • D. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • E. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WPM
Triple: [World Plenary Meeting, shortName, WPM]
Generated description
WPM is the abbreviation commonly used for the World Plenary Meeting, a global gathering focused on collective decision-making and discussion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WPM
Target entity description: WPM is the abbreviation commonly used for the World Plenary Meeting, a global gathering focused on collective decision-making and discussion.
  • A. WCP
    WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • B. Morse
    Morse is the middle name of Mary Baker Eddy, the founder of Christian Science.
  • C. Pitman shorthand
    Pitman shorthand is a phonetic writing system developed in the 19th century by Isaac Pitman to enable rapid transcription of spoken English using simplified strokes and symbols.
  • D. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • E. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57743e08190a1069c62e32f1bd4 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e4df38819089d0a11016a85ad8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b228c1b568819088dc5ce4a15fedc2 completed March 12, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69b22ccd34a8819089e207b6ee1f634a completed March 12, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:05 p.m.